Profiling Report

Dataset statistics

Number of variables	30
Number of observations	19070
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	1330
Duplicate rows (%)	7.0%
Total size in memory	4.4 MiB
Average record size in memory	240.0 B

Variable types

Numeric	19
Categorical	11

Alerts

`незачет` has constant value ""	Constant
`Накоп незачет` has constant value ""	Constant
Dataset has 1330 (7.0%) duplicate rows	Duplicates
`Семестр` is highly overall correlated with `Накоп зачет` and 1 other fields	High correlation
`удовлетворительно` is highly overall correlated with `отлично` and 1 other fields	High correlation
`отлично` is highly overall correlated with `удовлетворительно` and 1 other fields	High correlation
`зачет испр` is highly overall correlated with `незачет до испр` and 2 other fields	High correlation
`незачет до испр` is highly overall correlated with `зачет испр` and 2 other fields	High correlation
`Накоп зачет` is highly overall correlated with `Семестр` and 1 other fields	High correlation
`Накоп удовлетворительно` is highly overall correlated with `удовлетворительно`	High correlation
`Накоп хорошо` is highly overall correlated with `Семестр` and 1 other fields	High correlation
`Накоп отлично` is highly overall correlated with `отлично`	High correlation
`Накоп зачет испр` is highly overall correlated with `зачет испр` and 2 other fields	High correlation
`Накоп удовлетворительно испр` is highly overall correlated with `Накоп зачет до испр` and 1 other fields	High correlation
`Накоп хорошо испр` is highly overall correlated with `Накоп удовлетворительно до испр`	High correlation
`Накоп отлично испр` is highly overall correlated with `Накоп хорошо до испр`	High correlation
`Накоп незачет до испр` is highly overall correlated with `незачет до испр` and 2 other fields	High correlation
`Накоп зачет до испр` is highly overall correlated with `Накоп удовлетворительно испр`	High correlation
`Накоп удовлетворительно до испр` is highly overall correlated with `Накоп хорошо испр`	High correlation
`Накоп хорошо до испр` is highly overall correlated with `Накоп отлично испр`	High correlation
`удовлетворительно испр` is highly overall correlated with `зачет испр` and 4 other fields	High correlation
`хорошо испр` is highly overall correlated with `удовлетворительно до испр`	High correlation
`отлично испр` is highly overall correlated with `хорошо до испр`	High correlation
`удовлетворительно до испр` is highly overall correlated with `хорошо испр`	High correlation
`хорошо до испр` is highly overall correlated with `отлично испр`	High correlation
`удовлетворительно испр` is highly imbalanced (90.0%)	Imbalance
`хорошо испр` is highly imbalanced (79.8%)	Imbalance
`отлично испр` is highly imbalanced (71.9%)	Imbalance
`зачет до испр` is highly imbalanced (73.7%)	Imbalance
`удовлетворительно до испр` is highly imbalanced (82.2%)	Imbalance
`хорошо до испр` is highly imbalanced (80.0%)	Imbalance
`зачет испр` is highly skewed (γ1 = 35.66660729)	Skewed
`незачет до испр` is highly skewed (γ1 = 32.30947878)	Skewed
`Накоп зачет испр` is highly skewed (γ1 = 35.01268132)	Skewed
`Накоп незачет до испр` is highly skewed (γ1 = 28.09328313)	Skewed
`зачет` has 268 (1.4%) zeros	Zeros
`удовлетворительно` has 11761 (61.7%) zeros	Zeros
`хорошо` has 6492 (34.0%) zeros	Zeros
`отлично` has 8566 (44.9%) zeros	Zeros
`зачет испр` has 19017 (99.7%) zeros	Zeros
`незачет до испр` has 18927 (99.3%) zeros	Zeros
`Накоп удовлетворительно` has 7824 (41.0%) zeros	Zeros
`Накоп хорошо` has 2602 (13.6%) zeros	Zeros
`Накоп отлично` has 4080 (21.4%) zeros	Zeros
`Накоп зачет испр` has 18889 (99.1%) zeros	Zeros
`Накоп удовлетворительно испр` has 17272 (90.6%) zeros	Zeros
`Накоп хорошо испр` has 14846 (77.9%) zeros	Zeros
`Накоп отлично испр` has 13575 (71.2%) zeros	Zeros
`Накоп незачет до испр` has 18583 (97.4%) zeros	Zeros
`Накоп зачет до испр` has 14085 (73.9%) zeros	Zeros
`Накоп удовлетворительно до испр` has 16267 (85.3%) zeros	Zeros
`Накоп хорошо до испр` has 15251 (80.0%) zeros	Zeros

Reproduction

Analysis started	2023-10-06 06:17:02.404278
Analysis finished	2023-10-06 06:18:00.453843
Duration	58.05 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

Семестр
Real number (ℝ)

HIGH CORRELATION

Distinct	11
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.9649187

Minimum	1
Maximum	11
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	149.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	6
95-th percentile	8
Maximum	11
Range	10
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.4979464
Coefficient of variation (CV)	0.63001201
Kurtosis	-0.73880765
Mean	3.9649187
Median Absolute Deviation (MAD)	2
Skewness	0.58517887
Sum	75611
Variance	6.2397363
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
1	3612	18.9%
2	3307	17.3%
3	3074	16.1%
4	1947	10.2%
5	1710	9.0%
6	1643	8.6%
7	1477	7.7%
8	1455	7.6%
9	465	2.4%
10	377	2.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3612	18.9%
2	3307	17.3%
3	3074	16.1%
4	1947	10.2%
5	1710	9.0%
6	1643	8.6%
7	1477	7.7%
8	1455	7.6%
9	465	2.4%
10	377	2.0%

Value	Count	Frequency (%)
11	3	< 0.1%
10	377	2.0%
9	465	2.4%
8	1455	7.6%
7	1477	7.7%
6	1643	8.6%
5	1710	9.0%
4	1947	10.2%
3	3074	16.1%
2	3307	17.3%

Форма обучения
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	149.1 KiB

0	13794
2	5148
1	128

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	19070
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
0	13794	72.3%
2	5148	27.0%
1	128	0.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	13794	72.3%
2	5148	27.0%
1	128	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	13794	72.3%
2	5148	27.0%
1	128	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19070	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	13794	72.3%
2	5148	27.0%
1	128	0.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	19070	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	13794	72.3%
2	5148	27.0%
1	128	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19070	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	13794	72.3%
2	5148	27.0%
1	128	0.7%

Квалификация
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	149.1 KiB

0	13606
2	3496
3	1053
1	915

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	19070
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	13606	71.3%
2	3496	18.3%
3	1053	5.5%
1	915	4.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	13606	71.3%
2	3496	18.3%
3	1053	5.5%
1	915	4.8%

Most occurring characters

Value	Count	Frequency (%)
0	13606	71.3%
2	3496	18.3%
3	1053	5.5%
1	915	4.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19070	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	13606	71.3%
2	3496	18.3%
3	1053	5.5%
1	915	4.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	19070	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	13606	71.3%
2	3496	18.3%
3	1053	5.5%
1	915	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19070	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	13606	71.3%
2	3496	18.3%
3	1053	5.5%
1	915	4.8%

незачет
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	149.1 KiB

0	19070

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	19070
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	19070	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	19070	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	19070	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19070	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	19070	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	19070	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	19070	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19070	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	19070	100.0%

зачет
Real number (ℝ)

ZEROS

Distinct	12
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.995333

Minimum	0
Maximum	11
Zeros	268
Zeros (%)	1.4%
Negative	0
Negative (%)	0.0%
Memory size	149.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	4
Q3	5
95-th percentile	6
Maximum	11
Range	11
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.611625
Coefficient of variation (CV)	0.4033769
Kurtosis	0.33386917
Mean	3.995333
Median Absolute Deviation (MAD)	1
Skewness	-0.018813269
Sum	76191
Variance	2.5973352
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
4	5509	28.9%
5	4070	21.3%
3	2749	14.4%
6	2392	12.5%
2	2251	11.8%
1	1087	5.7%
7	509	2.7%
0	268	1.4%
8	131	0.7%
10	50	0.3%
Other values (2)	54	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	268	1.4%
1	1087	5.7%
2	2251	11.8%
3	2749	14.4%
4	5509	28.9%
5	4070	21.3%
6	2392	12.5%
7	509	2.7%
8	131	0.7%
9	44	0.2%

Value	Count	Frequency (%)
11	10	0.1%
10	50	0.3%
9	44	0.2%
8	131	0.7%
7	509	2.7%
6	2392	12.5%
5	4070	21.3%
4	5509	28.9%
3	2749	14.4%
2	2251	11.8%

удовлетворительно
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.73392764

Minimum	0
Maximum	8
Zeros	11761
Zeros (%)	61.7%
Negative	0
Negative (%)	0.0%
Memory size	149.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.1227076
Coefficient of variation (CV)	1.5297252
Kurtosis	1.7115137
Mean	0.73392764
Median Absolute Deviation (MAD)	0
Skewness	1.5360732
Sum	13996
Variance	1.2604724
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	11761	61.7%
1	3232	16.9%
2	2189	11.5%
3	1277	6.7%
4	522	2.7%
5	70	0.4%
6	17	0.1%
8	1	< 0.1%
7	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	11761	61.7%
1	3232	16.9%
2	2189	11.5%
3	1277	6.7%
4	522	2.7%
5	70	0.4%
6	17	0.1%
7	1	< 0.1%
8	1	< 0.1%

Value	Count	Frequency (%)
8	1	< 0.1%
7	1	< 0.1%
6	17	0.1%
5	70	0.4%
4	522	2.7%
3	1277	6.7%
2	2189	11.5%
1	3232	16.9%
0	11761	61.7%

хорошо
Real number (ℝ)

ZEROS

Distinct	12
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.2658626

Minimum	0
Maximum	11
Zeros	6492
Zeros (%)	34.0%
Negative	0
Negative (%)	0.0%
Memory size	149.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	3
Maximum	11
Range	11
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.2168533
Coefficient of variation (CV)	0.96128384
Kurtosis	1.0478301
Mean	1.2658626
Median Absolute Deviation (MAD)	1
Skewness	0.8782534
Sum	24140
Variance	1.4807319
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
0	6492	34.0%
1	5291	27.7%
2	4126	21.6%
3	2243	11.8%
4	803	4.2%
5	80	0.4%
6	18	0.1%
9	6	< 0.1%
7	4	< 0.1%
8	3	< 0.1%
Other values (2)	4	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6492	34.0%
1	5291	27.7%
2	4126	21.6%
3	2243	11.8%
4	803	4.2%
5	80	0.4%
6	18	0.1%
7	4	< 0.1%
8	3	< 0.1%
9	6	< 0.1%

Value	Count	Frequency (%)
11	2	< 0.1%
10	2	< 0.1%
9	6	< 0.1%
8	3	< 0.1%
7	4	< 0.1%
6	18	0.1%
5	80	0.4%
4	803	4.2%
3	2243	11.8%
2	4126	21.6%

отлично
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	14
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1577347

Minimum	0
Maximum	13
Zeros	8566
Zeros (%)	44.9%
Negative	0
Negative (%)	0.0%
Memory size	149.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	4
Maximum	13
Range	13
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.3521403
Coefficient of variation (CV)	1.167919
Kurtosis	2.1263301
Mean	1.1577347
Median Absolute Deviation (MAD)	1
Skewness	1.1906029
Sum	22078
Variance	1.8282833
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0	8566	44.9%
1	4183	21.9%
2	2740	14.4%
3	2201	11.5%
4	1221	6.4%
5	114	0.6%
6	18	0.1%
7	8	< 0.1%
8	5	< 0.1%
9	4	< 0.1%
Other values (4)	10	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8566	44.9%
1	4183	21.9%
2	2740	14.4%
3	2201	11.5%
4	1221	6.4%
5	114	0.6%
6	18	0.1%
7	8	< 0.1%
8	5	< 0.1%
9	4	< 0.1%

Value	Count	Frequency (%)
13	3	< 0.1%
12	3	< 0.1%
11	3	< 0.1%
10	1	< 0.1%
9	4	< 0.1%
8	5	< 0.1%
7	8	< 0.1%
6	18	0.1%
5	114	0.6%
4	1221	6.4%

зачет испр
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.0041426324

Minimum	0
Maximum	5
Zeros	19017
Zeros (%)	99.7%
Negative	0
Negative (%)	0.0%
Memory size	149.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.098941043
Coefficient of variation (CV)	23.883616
Kurtosis	1531.9383
Mean	0.0041426324
Median Absolute Deviation (MAD)	0
Skewness	35.666607
Sum	79
Variance	0.0097893299
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	19017	99.7%
1	43	0.2%
2	3	< 0.1%
5	3	< 0.1%
4	3	< 0.1%
3	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	19017	99.7%
1	43	0.2%
2	3	< 0.1%
3	1	< 0.1%
4	3	< 0.1%
5	3	< 0.1%

Value	Count	Frequency (%)
5	3	< 0.1%
4	3	< 0.1%
3	1	< 0.1%
2	3	< 0.1%
1	43	0.2%
0	19017	99.7%

удовлетворительно испр
Categorical

HIGH CORRELATION IMBALANCE

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	149.1 KiB

0.0	18512
1.0	529
2.0	28
3.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	57210
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	18512	97.1%
1.0	529	2.8%
2.0	28	0.1%
3.0	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	18512	97.1%
1.0	529	2.8%
2.0	28	0.1%
3.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	37582	65.7%
.	19070	33.3%
1	529	0.9%
2	28	< 0.1%
3	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	38140	66.7%
Other Punctuation	19070	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	37582	98.5%
1	529	1.4%
2	28	0.1%
3	1	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	19070	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	57210	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	37582	65.7%
.	19070	33.3%
1	529	0.9%
2	28	< 0.1%
3	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	57210	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	37582	65.7%
.	19070	33.3%
1	529	0.9%
2	28	< 0.1%
3	1	< 0.1%

хорошо испр
Categorical

HIGH CORRELATION IMBALANCE

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	149.1 KiB

0.0	17362
1.0	1589
2.0	114
3.0	3
4.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	57210
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	17362	91.0%
1.0	1589	8.3%
2.0	114	0.6%
3.0	3	< 0.1%
4.0	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	17362	91.0%
1.0	1589	8.3%
2.0	114	0.6%
3.0	3	< 0.1%
4.0	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	36432	63.7%
.	19070	33.3%
1	1589	2.8%
2	114	0.2%
3	3	< 0.1%
4	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	38140	66.7%
Other Punctuation	19070	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	36432	95.5%
1	1589	4.2%
2	114	0.3%
3	3	< 0.1%
4	2	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	19070	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	57210	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	36432	63.7%
.	19070	33.3%
1	1589	2.8%
2	114	0.2%
3	3	< 0.1%
4	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	57210	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	36432	63.7%
.	19070	33.3%
1	1589	2.8%
2	114	0.2%
3	3	< 0.1%
4	2	< 0.1%

отлично испр
Categorical

HIGH CORRELATION IMBALANCE

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	149.1 KiB

0.0	16480
1.0	2271
2.0	303
3.0	14
4.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	57210
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	16480	86.4%
1.0	2271	11.9%
2.0	303	1.6%
3.0	14	0.1%
4.0	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	16480	86.4%
1.0	2271	11.9%
2.0	303	1.6%
3.0	14	0.1%
4.0	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	35550	62.1%
.	19070	33.3%
1	2271	4.0%
2	303	0.5%
3	14	< 0.1%
4	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	38140	66.7%
Other Punctuation	19070	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	35550	93.2%
1	2271	6.0%
2	303	0.8%
3	14	< 0.1%
4	2	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	19070	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	57210	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	35550	62.1%
.	19070	33.3%
1	2271	4.0%
2	303	0.5%
3	14	< 0.1%
4	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	57210	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	35550	62.1%
.	19070	33.3%
1	2271	4.0%
2	303	0.5%
3	14	< 0.1%
4	2	< 0.1%

незачет до испр
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.010907184

Minimum	0
Maximum	8
Zeros	18927
Zeros (%)	99.3%
Negative	0
Negative (%)	0.0%
Memory size	149.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	8
Range	8
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.18143578
Coefficient of variation (CV)	16.634521
Kurtosis	1301.1601
Mean	0.010907184
Median Absolute Deviation (MAD)	0
Skewness	32.309479
Sum	208
Variance	0.032918942
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	18927	99.3%
1	124	0.7%
2	9	< 0.1%
8	6	< 0.1%
4	1	< 0.1%
6	1	< 0.1%
5	1	< 0.1%
3	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	18927	99.3%
1	124	0.7%
2	9	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
8	6	< 0.1%

Value	Count	Frequency (%)
8	6	< 0.1%
6	1	< 0.1%
5	1	< 0.1%
4	1	< 0.1%
3	1	< 0.1%
2	9	< 0.1%
1	124	0.7%
0	18927	99.3%

зачет до испр
Categorical

IMBALANCE

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	149.1 KiB

0.0	17127
1.0	1730
2.0	211
3.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	57210
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	17127	89.8%
1.0	1730	9.1%
2.0	211	1.1%
3.0	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	17127	89.8%
1.0	1730	9.1%
2.0	211	1.1%
3.0	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	36197	63.3%
.	19070	33.3%
1	1730	3.0%
2	211	0.4%
3	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	38140	66.7%
Other Punctuation	19070	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	36197	94.9%
1	1730	4.5%
2	211	0.6%
3	2	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	19070	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	57210	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	36197	63.3%
.	19070	33.3%
1	1730	3.0%
2	211	0.4%
3	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	57210	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	36197	63.3%
.	19070	33.3%
1	1730	3.0%
2	211	0.4%
3	2	< 0.1%

удовлетворительно до испр
Categorical

HIGH CORRELATION IMBALANCE

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	149.1 KiB

0.0	17909
1.0	1071
2.0	89
3.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	57210
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	17909	93.9%
1.0	1071	5.6%
2.0	89	0.5%
3.0	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	17909	93.9%
1.0	1071	5.6%
2.0	89	0.5%
3.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	36979	64.6%
.	19070	33.3%
1	1071	1.9%
2	89	0.2%
3	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	38140	66.7%
Other Punctuation	19070	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	36979	97.0%
1	1071	2.8%
2	89	0.2%
3	1	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	19070	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	57210	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	36979	64.6%
.	19070	33.3%
1	1071	1.9%
2	89	0.2%
3	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	57210	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	36979	64.6%
.	19070	33.3%
1	1071	1.9%
2	89	0.2%
3	1	< 0.1%

хорошо до испр
Categorical

HIGH CORRELATION IMBALANCE

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	149.1 KiB

0.0	17432
1.0	1475
2.0	156
3.0	5
4.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	57210
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	17432	91.4%
1.0	1475	7.7%
2.0	156	0.8%
3.0	5	< 0.1%
4.0	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	17432	91.4%
1.0	1475	7.7%
2.0	156	0.8%
3.0	5	< 0.1%
4.0	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	36502	63.8%
.	19070	33.3%
1	1475	2.6%
2	156	0.3%
3	5	< 0.1%
4	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	38140	66.7%
Other Punctuation	19070	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	36502	95.7%
1	1475	3.9%
2	156	0.4%
3	5	< 0.1%
4	2	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	19070	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	57210	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	36502	63.8%
.	19070	33.3%
1	1475	2.6%
2	156	0.3%
3	5	< 0.1%
4	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	57210	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	36502	63.8%
.	19070	33.3%
1	1475	2.6%
2	156	0.3%
3	5	< 0.1%
4	2	< 0.1%

Накоп незачет
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	149.1 KiB

0.0	19070

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	57210
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	19070	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	19070	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	38140	66.7%
.	19070	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	38140	66.7%
Other Punctuation	19070	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	38140	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	19070	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	57210	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	38140	66.7%
.	19070	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	57210	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	38140	66.7%
.	19070	33.3%

Накоп зачет
Real number (ℝ)

HIGH CORRELATION

Distinct	69
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.413214

Minimum	0
Maximum	69
Zeros	13
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	149.1 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	8
median	14
Q3	27
95-th percentile	39
Maximum	69
Range	69
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	11.826551
Coefficient of variation (CV)	0.67917106
Kurtosis	-0.63372732
Mean	17.413214
Median Absolute Deviation (MAD)	9
Skewness	0.63884345
Sum	332070
Variance	139.86732
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	1893	9.9%
8	1211	6.4%
10	1125	5.9%
11	1105	5.8%
9	800	4.2%
5	754	4.0%
15	644	3.4%
29	511	2.7%
13	488	2.6%
6	446	2.3%
Other values (59)	10093	52.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	13	0.1%
1	50	0.3%
2	292	1.5%
3	444	2.3%
4	1893	9.9%
5	754	4.0%
6	446	2.3%
7	406	2.1%
8	1211	6.4%
9	800	4.2%

Value	Count	Frequency (%)
69	1	< 0.1%
67	2	< 0.1%
66	1	< 0.1%
65	1	< 0.1%
64	2	< 0.1%
63	1	< 0.1%
62	2	< 0.1%
61	1	< 0.1%
60	3	< 0.1%
59	1	< 0.1%

Накоп удовлетворительно
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	54
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.7151023

Minimum	0
Maximum	58
Zeros	7824
Zeros (%)	41.0%
Negative	0
Negative (%)	0.0%
Memory size	149.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	5
95-th percentile	15
Maximum	58
Range	58
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	5.5561963
Coefficient of variation (CV)	1.4955702
Kurtosis	8.8330555
Mean	3.7151023
Median Absolute Deviation (MAD)	1
Skewness	2.4256926
Sum	70847
Variance	30.871317
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	7824	41.0%
1	2128	11.2%
2	1612	8.5%
3	1113	5.8%
4	941	4.9%
5	813	4.3%
6	620	3.3%
7	546	2.9%
8	489	2.6%
10	424	2.2%
Other values (44)	2560	13.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7824	41.0%
1	2128	11.2%
2	1612	8.5%
3	1113	5.8%
4	941	4.9%
5	813	4.3%
6	620	3.3%
7	546	2.9%
8	489	2.6%
9	388	2.0%

Value	Count	Frequency (%)
58	1	< 0.1%
56	1	< 0.1%
54	1	< 0.1%
52	1	< 0.1%
50	2	< 0.1%
49	2	< 0.1%
48	3	< 0.1%
46	3	< 0.1%
45	1	< 0.1%
44	3	< 0.1%

Накоп хорошо
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	36
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.8439958

Minimum	0
Maximum	38
Zeros	2602
Zeros (%)	13.6%
Negative	0
Negative (%)	0.0%
Memory size	149.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	4
Q3	9
95-th percentile	16
Maximum	38
Range	38
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	5.2905258
Coefficient of variation (CV)	0.90529254
Kurtosis	0.50393513
Mean	5.8439958
Median Absolute Deviation (MAD)	3
Skewness	0.98693722
Sum	111445
Variance	27.989663
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
0	2602	13.6%
1	2127	11.2%
2	2005	10.5%
3	1706	8.9%
4	1291	6.8%
5	1114	5.8%
6	1070	5.6%
7	926	4.9%
8	858	4.5%
9	841	4.4%
Other values (26)	4530	23.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2602	13.6%
1	2127	11.2%
2	2005	10.5%
3	1706	8.9%
4	1291	6.8%
5	1114	5.8%
6	1070	5.6%
7	926	4.9%
8	858	4.5%
9	841	4.4%

Value	Count	Frequency (%)
38	1	< 0.1%
36	1	< 0.1%
35	1	< 0.1%
32	1	< 0.1%
31	2	< 0.1%
30	1	< 0.1%
29	2	< 0.1%
28	4	< 0.1%
27	4	< 0.1%
26	7	< 0.1%

Накоп отлично
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	40
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.3353435

Minimum	0
Maximum	42
Zeros	4080
Zeros (%)	21.4%
Negative	0
Negative (%)	0.0%
Memory size	149.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	6
95-th percentile	16
Maximum	42
Range	42
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	5.3576501
Coefficient of variation (CV)	1.2358075
Kurtosis	4.9169442
Mean	4.3353435
Median Absolute Deviation (MAD)	2
Skewness	2.0743398
Sum	82675
Variance	28.704414
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
0	4080	21.4%
1	2988	15.7%
2	2631	13.8%
3	1993	10.5%
4	1229	6.4%
5	951	5.0%
6	943	4.9%
7	640	3.4%
8	603	3.2%
9	509	2.7%
Other values (30)	2503	13.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4080	21.4%
1	2988	15.7%
2	2631	13.8%
3	1993	10.5%
4	1229	6.4%
5	951	5.0%
6	943	4.9%
7	640	3.4%
8	603	3.2%
9	509	2.7%

Value	Count	Frequency (%)
42	1	< 0.1%
41	1	< 0.1%
40	1	< 0.1%
39	1	< 0.1%
35	1	< 0.1%
34	1	< 0.1%
33	4	< 0.1%
32	6	< 0.1%
31	8	< 0.1%
30	19	0.1%

Накоп зачет испр
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.012899843

Minimum	0
Maximum	12
Zeros	18889
Zeros (%)	99.1%
Negative	0
Negative (%)	0.0%
Memory size	149.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	12
Range	12
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.189784
Coefficient of variation (CV)	14.712118
Kurtosis	1715.6126
Mean	0.012899843
Median Absolute Deviation (MAD)	0
Skewness	35.012681
Sum	246
Variance	0.036017968
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	18889	99.1%
1	156	0.8%
2	18	0.1%
5	3	< 0.1%
9	3	< 0.1%
12	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	18889	99.1%
1	156	0.8%
2	18	0.1%
5	3	< 0.1%
9	3	< 0.1%
12	1	< 0.1%

Value	Count	Frequency (%)
12	1	< 0.1%
9	3	< 0.1%
5	3	< 0.1%
2	18	0.1%
1	156	0.8%
0	18889	99.1%

Накоп удовлетворительно испр
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.12669114

Minimum	0
Maximum	7
Zeros	17272
Zeros (%)	90.6%
Negative	0
Negative (%)	0.0%
Memory size	149.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	7
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.44733754
Coefficient of variation (CV)	3.53093
Kurtosis	26.709021
Mean	0.12669114
Median Absolute Deviation (MAD)	0
Skewness	4.5856517
Sum	2416
Variance	0.20011087
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	17272	90.6%
1	1368	7.2%
2	278	1.5%
3	124	0.7%
4	22	0.1%
5	5	< 0.1%
7	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	17272	90.6%
1	1368	7.2%
2	278	1.5%
3	124	0.7%
4	22	0.1%
5	5	< 0.1%
7	1	< 0.1%

Value	Count	Frequency (%)
7	1	< 0.1%
5	5	< 0.1%
4	22	0.1%
3	124	0.7%
2	278	1.5%
1	1368	7.2%
0	17272	90.6%

Накоп хорошо испр
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.34069219

Minimum	0
Maximum	7
Zeros	14846
Zeros (%)	77.9%
Negative	0
Negative (%)	0.0%
Memory size	149.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	7
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.76197324
Coefficient of variation (CV)	2.2365445
Kurtosis	9.752315
Mean	0.34069219
Median Absolute Deviation (MAD)	0
Skewness	2.8559608
Sum	6497
Variance	0.58060322
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	14846	77.9%
1	2737	14.4%
2	957	5.0%
3	339	1.8%
4	139	0.7%
5	40	0.2%
6	11	0.1%
7	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	14846	77.9%
1	2737	14.4%
2	957	5.0%
3	339	1.8%
4	139	0.7%
5	40	0.2%
6	11	0.1%
7	1	< 0.1%

Value	Count	Frequency (%)
7	1	< 0.1%
6	11	0.1%
5	40	0.2%
4	139	0.7%
3	339	1.8%
2	957	5.0%
1	2737	14.4%
0	14846	77.9%

Накоп отлично испр
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.46848453

Minimum	0
Maximum	8
Zeros	13575
Zeros (%)	71.2%
Negative	0
Negative (%)	0.0%
Memory size	149.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.91309281
Coefficient of variation (CV)	1.9490351
Kurtosis	8.5530186
Mean	0.46848453
Median Absolute Deviation (MAD)	0
Skewness	2.6078965
Sum	8934
Variance	0.83373849
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	13575	71.2%
1	3410	17.9%
2	1244	6.5%
3	514	2.7%
4	202	1.1%
5	82	0.4%
6	29	0.2%
7	10	0.1%
8	4	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	13575	71.2%
1	3410	17.9%
2	1244	6.5%
3	514	2.7%
4	202	1.1%
5	82	0.4%
6	29	0.2%
7	10	0.1%
8	4	< 0.1%

Value	Count	Frequency (%)
8	4	< 0.1%
7	10	0.1%
6	29	0.2%
5	82	0.4%
4	202	1.1%
3	514	2.7%
2	1244	6.5%
1	3410	17.9%
0	13575	71.2%

Накоп незачет до испр
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.038699528

Minimum	0
Maximum	22
Zeros	18583
Zeros (%)	97.4%
Negative	0
Negative (%)	0.0%
Memory size	149.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	22
Range	22
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.37471053
Coefficient of variation (CV)	9.6825606
Kurtosis	1211.7637
Mean	0.038699528
Median Absolute Deviation (MAD)	0
Skewness	28.093283
Sum	738
Variance	0.14040798
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	18583	97.4%
1	388	2.0%
2	64	0.3%
5	8	< 0.1%
6	7	< 0.1%
4	7	< 0.1%
3	6	< 0.1%
8	3	< 0.1%
16	3	< 0.1%
22	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	18583	97.4%
1	388	2.0%
2	64	0.3%
3	6	< 0.1%
4	7	< 0.1%
5	8	< 0.1%
6	7	< 0.1%
8	3	< 0.1%
16	3	< 0.1%
22	1	< 0.1%

Value	Count	Frequency (%)
22	1	< 0.1%
16	3	< 0.1%
8	3	< 0.1%
6	7	< 0.1%
5	8	< 0.1%
4	7	< 0.1%
3	6	< 0.1%
2	64	0.3%
1	388	2.0%
0	18583	97.4%

Накоп зачет до испр
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.38830624

Minimum	0
Maximum	5
Zeros	14085
Zeros (%)	73.9%
Negative	0
Negative (%)	0.0%
Memory size	149.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.78040372
Coefficient of variation (CV)	2.0097635
Kurtosis	7.1898762
Mean	0.38830624
Median Absolute Deviation (MAD)	0
Skewness	2.5074727
Sum	7405
Variance	0.60902996
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	14085	73.9%
1	3403	17.8%
2	982	5.1%
3	408	2.1%
4	146	0.8%
5	46	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	14085	73.9%
1	3403	17.8%
2	982	5.1%
3	408	2.1%
4	146	0.8%
5	46	0.2%

Value	Count	Frequency (%)
5	46	0.2%
4	146	0.8%
3	408	2.1%
2	982	5.1%
1	3403	17.8%
0	14085	73.9%

Накоп удовлетворительно до испр
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.23434714

Minimum	0
Maximum	6
Zeros	16267
Zeros (%)	85.3%
Negative	0
Negative (%)	0.0%
Memory size	149.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	6
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.68477225
Coefficient of variation (CV)	2.9220422
Kurtosis	20.012483
Mean	0.23434714
Median Absolute Deviation (MAD)	0
Skewness	4.0182332
Sum	4469
Variance	0.46891303
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	16267	85.3%
1	1806	9.5%
2	616	3.2%
3	202	1.1%
4	98	0.5%
5	53	0.3%
6	28	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	16267	85.3%
1	1806	9.5%
2	616	3.2%
3	202	1.1%
4	98	0.5%
5	53	0.3%
6	28	0.1%

Value	Count	Frequency (%)
6	28	0.1%
5	53	0.3%
4	98	0.5%
3	202	1.1%
2	616	3.2%
1	1806	9.5%
0	16267	85.3%

Накоп хорошо до испр
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.28741479

Minimum	0
Maximum	7
Zeros	15251
Zeros (%)	80.0%
Negative	0
Negative (%)	0.0%
Memory size	149.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	7
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.68477137
Coefficient of variation (CV)	2.3825196
Kurtosis	14.951669
Mean	0.28741479
Median Absolute Deviation (MAD)	0
Skewness	3.3085777
Sum	5481
Variance	0.46891182
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	15251	80.0%
1	2709	14.2%
2	758	4.0%
3	221	1.2%
4	91	0.5%
5	17	0.1%
6	17	0.1%
7	6	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	15251	80.0%
1	2709	14.2%
2	758	4.0%
3	221	1.2%
4	91	0.5%
5	17	0.1%
6	17	0.1%
7	6	< 0.1%

Value	Count	Frequency (%)
7	6	< 0.1%
6	17	0.1%
5	17	0.1%
4	91	0.5%
3	221	1.2%
2	758	4.0%
1	2709	14.2%
0	15251	80.0%

отчислен
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	149.1 KiB

0	16805
1	2265

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	19070
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	16805	88.1%
1	2265	11.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	16805	88.1%
1	2265	11.9%

Most occurring characters

Value	Count	Frequency (%)
0	16805	88.1%
1	2265	11.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19070	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	16805	88.1%
1	2265	11.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	19070	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	16805	88.1%
1	2265	11.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19070	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	16805	88.1%
1	2265	11.9%

Auto

Heatmap
Table

	Семестр	зачет	удовлетворительно	хорошо	отлично	зачет испр	незачет до испр	Накоп зачет	Накоп удовлетворительно	Накоп хорошо	Накоп отлично	Накоп зачет испр	Накоп удовлетворительно испр	Накоп хорошо испр	Накоп отлично испр	Накоп незачет до испр	Накоп зачет до испр	Накоп удовлетворительно до испр	Накоп хорошо до испр	Форма обучения	Квалификация	удовлетворительно испр	хорошо испр	отлично испр	зачет до испр	удовлетворительно до испр	хорошо до испр	отчислен
Семестр	1.000	-0.050	0.001	-0.031	-0.022	-0.035	-0.051	0.932	0.436	0.703	0.474	0.023	0.286	0.473	0.425	0.053	0.500	0.396	0.329	0.235	0.269	0.084	0.100	0.103	0.162	0.117	0.079	0.217
зачет	-0.050	1.000	0.012	0.187	0.135	-0.045	-0.034	0.189	-0.015	0.129	0.073	-0.071	-0.071	-0.027	0.004	-0.071	0.016	-0.043	-0.007	0.235	0.324	0.076	0.054	0.076	0.129	0.039	0.063	0.061
удовлетворительно	0.001	0.012	1.000	-0.085	-0.511	-0.008	-0.008	0.027	0.679	0.014	-0.472	0.024	0.171	0.080	-0.202	0.021	-0.027	0.144	-0.157	0.258	0.202	0.077	0.055	0.083	0.020	0.082	0.063	0.238
хорошо	-0.031	0.187	-0.085	1.000	-0.309	-0.025	-0.027	0.034	0.070	0.455	-0.199	-0.033	0.009	0.047	-0.043	-0.030	0.006	-0.005	0.003	0.059	0.136	0.005	0.015	0.047	0.040	0.050	0.034	0.013
отлично	-0.022	0.135	-0.511	-0.309	1.000	0.009	-0.006	0.028	-0.492	-0.150	0.679	-0.010	-0.169	-0.161	0.133	-0.028	0.035	-0.212	0.044	0.230	0.195	0.044	0.059	0.048	0.107	0.088	0.049	0.174
зачет испр	-0.035	-0.045	-0.008	-0.025	0.009	1.000	0.608	-0.048	-0.025	-0.041	-0.009	0.540	0.035	0.012	0.007	0.329	-0.022	-0.014	0.001	0.018	0.055	0.598	0.412	0.000	0.000	0.000	0.000	0.051
незачет до испр	-0.051	-0.034	-0.008	-0.027	-0.006	0.608	1.000	-0.055	-0.023	-0.055	-0.025	0.337	0.084	0.019	0.027	0.538	-0.031	-0.017	0.000	0.016	0.061	0.612	0.409	0.030	0.000	0.000	0.000	0.059
Накоп зачет	0.932	0.189	0.027	0.034	0.028	-0.048	-0.055	1.000	0.448	0.746	0.485	0.005	0.250	0.446	0.426	0.041	0.489	0.369	0.326	0.153	0.325	0.072	0.100	0.085	0.155	0.106	0.059	0.210
Накоп удовлетворительно	0.436	-0.015	0.679	0.070	-0.492	-0.025	-0.023	0.448	1.000	0.408	-0.308	0.032	0.353	0.358	-0.009	0.051	0.225	0.368	0.020	0.270	0.186	0.095	0.077	0.034	0.051	0.092	0.023	0.083
Накоп хорошо	0.703	0.129	0.014	0.455	-0.150	-0.041	-0.055	0.746	0.408	1.000	0.231	0.005	0.244	0.429	0.304	0.026	0.404	0.319	0.279	0.116	0.285	0.053	0.094	0.051	0.107	0.081	0.042	0.130
Накоп отлично	0.474	0.073	-0.472	-0.199	0.679	-0.009	-0.025	0.485	-0.308	0.231	1.000	0.004	-0.025	0.100	0.404	0.004	0.311	-0.001	0.278	0.141	0.152	0.025	0.025	0.086	0.080	0.034	0.044	0.195
Накоп зачет испр	0.023	-0.071	0.024	-0.033	-0.010	0.540	0.337	0.005	0.032	0.005	0.004	1.000	0.080	0.057	0.011	0.609	-0.015	0.030	0.008	0.018	0.048	0.595	0.409	0.000	0.000	0.000	0.000	0.051
Накоп удовлетворительно испр	0.286	-0.071	0.171	0.009	-0.169	0.035	0.084	0.250	0.353	0.244	-0.025	0.080	1.000	0.185	0.008	0.195	0.505	0.192	-0.004	0.136	0.100	0.673	0.064	0.005	0.173	0.073	0.000	0.020
Накоп хорошо испр	0.473	-0.027	0.080	0.047	-0.161	0.012	0.019	0.446	0.358	0.429	0.100	0.057	0.185	1.000	0.227	0.115	0.475	0.733	0.201	0.121	0.131	0.020	0.350	0.038	0.135	0.287	0.029	0.099
Накоп отлично испр	0.425	0.004	-0.202	-0.043	0.133	0.007	0.027	0.426	-0.009	0.304	0.404	0.011	0.008	0.227	1.000	0.078	0.401	0.227	0.813	0.068	0.099	0.025	0.024	0.379	0.132	0.066	0.305	0.168
Накоп незачет до испр	0.053	-0.071	0.021	-0.030	-0.028	0.329	0.538	0.041	0.051	0.026	0.004	0.609	0.195	0.115	0.078	1.000	-0.030	0.091	0.045	0.026	0.048	0.596	0.416	0.000	0.000	0.000	0.000	0.053
Накоп зачет до испр	0.500	0.016	-0.027	0.006	0.035	-0.022	-0.031	0.489	0.225	0.404	0.311	-0.015	0.505	0.475	0.401	-0.030	1.000	0.159	0.139	0.087	0.171	0.174	0.150	0.142	0.389	0.058	0.025	0.115
Накоп удовлетворительно до испр	0.396	-0.043	0.144	-0.005	-0.212	-0.014	-0.017	0.369	0.368	0.319	-0.001	0.030	0.192	0.733	0.227	0.091	0.159	1.000	0.171	0.165	0.110	0.000	0.231	0.038	0.025	0.383	0.016	0.093
Накоп хорошо до испр	0.329	-0.007	-0.157	0.003	0.044	0.001	0.000	0.326	0.020	0.279	0.278	0.008	-0.004	0.201	0.813	0.045	0.139	0.171	1.000	0.045	0.083	0.021	0.013	0.343	0.009	0.043	0.412	0.143
Форма обучения	0.235	0.235	0.258	0.059	0.230	0.018	0.016	0.153	0.270	0.116	0.141	0.018	0.136	0.121	0.068	0.026	0.087	0.165	0.045	1.000	0.288	0.067	0.045	0.073	0.024	0.080	0.061	0.138
Квалификация	0.269	0.324	0.202	0.136	0.195	0.055	0.061	0.325	0.186	0.285	0.152	0.048	0.100	0.131	0.099	0.048	0.171	0.110	0.083	0.288	1.000	0.050	0.065	0.096	0.101	0.055	0.079	0.135
удовлетворительно испр	0.084	0.076	0.077	0.005	0.044	0.598	0.612	0.072	0.095	0.053	0.025	0.595	0.673	0.020	0.025	0.596	0.174	0.000	0.021	0.067	0.050	1.000	0.000	0.027	0.318	0.000	0.022	0.030
хорошо испр	0.100	0.054	0.055	0.015	0.059	0.412	0.409	0.100	0.077	0.094	0.025	0.409	0.064	0.350	0.024	0.416	0.150	0.231	0.013	0.045	0.065	0.000	1.000	0.015	0.319	0.641	0.009	0.051
отлично испр	0.103	0.076	0.083	0.047	0.048	0.000	0.030	0.085	0.034	0.051	0.086	0.000	0.005	0.038	0.379	0.000	0.142	0.038	0.343	0.073	0.096	0.027	0.015	1.000	0.269	0.052	0.778	0.101
зачет до испр	0.162	0.129	0.020	0.040	0.107	0.000	0.000	0.155	0.051	0.107	0.080	0.000	0.173	0.135	0.132	0.000	0.389	0.025	0.009	0.024	0.101	0.318	0.319	0.269	1.000	0.021	0.030	0.049
удовлетворительно до испр	0.117	0.039	0.082	0.050	0.088	0.000	0.000	0.106	0.092	0.081	0.034	0.000	0.073	0.287	0.066	0.000	0.058	0.383	0.043	0.080	0.055	0.000	0.641	0.052	0.021	1.000	0.000	0.045
хорошо до испр	0.079	0.063	0.063	0.034	0.049	0.000	0.000	0.059	0.023	0.042	0.044	0.000	0.000	0.029	0.305	0.000	0.025	0.016	0.412	0.061	0.079	0.022	0.009	0.778	0.030	0.000	1.000	0.080
отчислен	0.217	0.061	0.238	0.013	0.174	0.051	0.059	0.210	0.083	0.130	0.195	0.051	0.020	0.099	0.168	0.053	0.115	0.093	0.143	0.138	0.135	0.030	0.051	0.101	0.049	0.045	0.080	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Семестр	Форма обучения	зачет	удовлетворительно	хорошо	отлично	хорошо испр	отлично испр	удовлетворительно до испр	хорошо до испр	Накоп зачет	Накоп удовлетворительно	Накоп хорошо	Накоп отлично	Накоп хорошо испр	Накоп отлично испр	Накоп удовлетворительно до испр	Накоп хорошо до испр
0	1	2	6.0	0.0	1.0	1.0	0.0	0.0	0.0	0.0	6.0	0.0	1.0	1.0	0.0	0.0	0.0	0.0
1	2	2	5.0	1.0	0.0	2.0	1.0	0.0	1.0	0.0	11.0	1.0	1.0	3.0	1.0	0.0	1.0	0.0
2	3	2	2.0	0.0	2.0	1.0	1.0	0.0	1.0	0.0	13.0	1.0	3.0	4.0	2.0	0.0	2.0	0.0
3	4	2	4.0	0.0	0.0	2.0	0.0	1.0	1.0	0.0	17.0	1.0	3.0	6.0	2.0	1.0	3.0	0.0
4	5	2	5.0	0.0	2.0	0.0	1.0	0.0	1.0	0.0	22.0	1.0	5.0	6.0	3.0	1.0	4.0	0.0
5	6	2	4.0	0.0	2.0	0.0	1.0	0.0	1.0	0.0	26.0	1.0	7.0	6.0	4.0	1.0	5.0	0.0
6	7	2	3.0	0.0	3.0	0.0	1.0	0.0	1.0	0.0	29.0	1.0	10.0	6.0	5.0	1.0	6.0	0.0
7	8	2	5.0	0.0	1.0	1.0	0.0	1.0	0.0	1.0	34.0	1.0	11.0	7.0	5.0	2.0	6.0	1.0
8	9	2	3.0	0.0	2.0	0.0	0.0	0.0	0.0	0.0	37.0	1.0	13.0	7.0	5.0	2.0	6.0	1.0
9	10	2	1.0	0.0	0.0	1.0	0.0	1.0	0.0	1.0	38.0	1.0	13.0	8.0	5.0	3.0	6.0	2.0

	Семестр	Форма обучения	зачет	удовлетворительно	хорошо	отлично	хорошо испр	зачет до испр	Накоп зачет	Накоп удовлетворительно	Накоп хорошо	Накоп отлично	Накоп хорошо испр	Накоп зачет до испр	отчислен
19060	5	2	3.0	0.0	3.0	1.0	0.0	0.0	15.0	1.0	12.0	5.0	0.0	0.0	0
19061	6	2	5.0	1.0	1.0	1.0	0.0	0.0	20.0	2.0	13.0	6.0	0.0	0.0	0
19062	7	2	4.0	3.0	0.0	0.0	0.0	0.0	24.0	5.0	13.0	6.0	0.0	0.0	0
19063	8	2	4.0	0.0	2.0	1.0	0.0	0.0	28.0	5.0	15.0	7.0	0.0	0.0	0
19064	9	2	0.0	3.0	2.0	0.0	0.0	0.0	28.0	8.0	17.0	7.0	0.0	0.0	0
19065	10	2	0.0	2.0	0.0	0.0	1.0	1.0	28.0	10.0	17.0	7.0	1.0	1.0	0
19066	1	2	3.0	1.0	4.0	0.0	0.0	0.0	3.0	1.0	4.0	0.0	0.0	0.0	1
19067	1	2	4.0	1.0	3.0	0.0	0.0	0.0	7.0	2.0	7.0	0.0	0.0	0.0	1
19068	2	2	5.0	1.0	3.0	0.0	0.0	0.0	12.0	3.0	10.0	0.0	0.0	0.0	1
19069	2	2	5.0	2.0	1.0	0.0	0.0	0.0	17.0	5.0	11.0	0.0	0.0	0.0	1

Most frequently occurring

	Семестр	Квалификация	зачет	хорошо	отлично	Накоп зачет	Накоп хорошо	Накоп отлично	# duplicates
167	1	2	4.0	0.0	3.0	4.0	0.0	3.0	232
218	1	3	2.0	0.0	0.0	2.0	0.0	0.0	166
568	2	2	4.0	0.0	3.0	8.0	0.0	6.0	128
174	1	2	4.0	1.0	2.0	4.0	1.0	2.0	118
675	2	3	2.0	0.0	2.0	4.0	0.0	2.0	95
1039	3	3	4.0	0.0	0.0	8.0	0.0	2.0	92
1160	4	3	2.0	0.0	1.0	10.0	0.0	3.0	80
183	1	2	4.0	2.0	1.0	4.0	2.0	1.0	74
18	1	0	4.0	3.0	1.0	4.0	3.0	1.0	68
1232	5	3	1.0	0.0	0.0	11.0	0.0	3.0	55

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common